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检索条件"主题词=Signal processing algorithms"

共 43524 条记录，以下是71-80 订阅

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A hearing aid simulator to test adaptive signal processing algorithms

A hearing aid simulator to test adaptive signal processing a...

引用

IEEE International Symposium on Intelligent signal processing

作者： Raul Vicen-Bueno Roberto Gil-Pita Manuel Utrilla-Manso Lorena Alvarez-Perez Departamento de Teoría de la Señal y Comunicaciones Universidad de Alcalá Escuela Politécnica Madrid Spain

ISBN: (纸本)9781424408290;1424408296

This paper deals with the description of a hearing aid simulation tool. This tool simulates the real behavior of digital DSP-based hearing aids with the aim of getting a very promising performance, which can be used for further design and research, and for a better fitting of the hearing impaired patient. The main parameters to program are the noise reduction techniques and the compression and feedback reduction algorithms. Also any other configuration is possible due to the access to the simulated signals in the hearing aid. So we can get a very promising performance which can be used for further design and research and for a better fitting of the hearing impaired patient. Results using a multilevel multifrequency hearing aid with real data collected from 18 patients show how the multifrequency compression techniques adapt the normal perceptible sounds to the hearing impaired patient perceiving area.

关键词： Auditory system Testing Adaptive signal processing signal processing algorithms Feedback Mathematical model Circuit simulation Hearing aids Digital signal processing Noise reduction

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EVM Testing of Wireless OFDM Transceivers Using Intelligent Back-End Digital signal processing algorithms

EVM Testing of Wireless OFDM Transceivers Using Intelligent ...

引用

IEEE International Test Conference

作者： V. Natarajan H. Choi D. Lee R. Senguttuvan A. Chatterjee Georgia Institute of Technology Atlanta GA USA

In production testing of wireless systems, measurement of EVM (a critical spec that is directly related to bit error rate) incurs significant test time due to the large numbers of symbols that need to be transmitted for reasons of accuracy. In our approach, EVM is modeled as a function of the system static non-idealities (IQ mismatch, gain, IIP3 parameters) and dynamic non-idealities (system noise, VCO phase noise). Using a selected subset of the OFDM tones, the static parameters are calculated first. These are then used to facilitate noise estimation using a back-end constellation compensation and noise amplification procedure. The data generated is used to predict EVM using machine learning methods. Significant reduction in test time is achieved with little loss in test accuracy.

关键词： OFDM Transceivers Digital signal processing signal processing algorithms System testing Phase noise Production systems Time measurement Bit error rate Voltage-controlled oscillators

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Development Principles and Criteria for The Selection of VLSI-Structures for Coordinated Parallel Calculation of Basic Operations of Real-Time Digital signal processing algorithms

Development Principles and Criteria for The Selection of VLS...

引用

International Conference on CAD Systems in Microelectronics (CADSM)

作者： Anatoliy Batyuk Eugen Struk Ivan Tsmots ACS Department Lviv Polytechnic National University Lviv Ukraine

In this article we have presented development principles of VLSI-structures and the ways to improve effectiveness of VLSI-devices used for coordinated parallel calculation of basic operations of real-time digital signal processing algorithms. We have also developed criteria for the selection of VLSI-structures to be used for such calculations.

关键词： Digital signal processing signal processing algorithms Hardware Real time systems Concurrent computing Parallel processing Standards development Productivity

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Optimization of signal processing algorithms

Optimization of signal processing algorithms

引用

Asilomar Conference on signals, Systems & Computers

作者： R. Ahmed B.L. Evans Measurement Business Division Tektronix Inc. Beaverton OR USA Department of Electrical and Computer Engineering University of Technology Austin TX USA

We optimize implementations of one-dimensional and multidimensional signal processing algorithms by rewriting subexpressions according to a set of algebraic identities. We encode the algebraic identities as conditional rules, and program hill climbing and simulated annealing search techniques to apply the rules. Both of these search techniques avoid an exponential explosion in memory usage because they only keep a single state in memory instead of building the entire tree of possible equivalent forms. We compare the effectiveness of these search techniques in optimizing implementations of one-dimensional multirate signal processing algorithms. Our prototype environment is written in Mathematica.

关键词： signal processing algorithms Equations Feedback Multidimensional signal processing Cost function Algorithm design and analysis Decoding signal generators Delay Tree graphs

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A rapid prototyping framework for audio signal processing algorithms

A rapid prototyping framework for audio signal processing al...

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IEEE International Conference on Field-Programmable Technology (FPT)

作者： N. VoB T. Eisenbach B. Mertsching Faculty of Computer Science University of Puderbom Paderborn Germany GET Lab Electrical Engineering and Mathematics University of Paderborn Paderborn Germany

We present a rapid-prototyping environment for functional verification and test of digital signal processing algorithms. The environment consists of a Virtex-ll device on a PCI-card and an appropriate generic software backend which is used to pre- and post-process the data and to transfer it to the FPGA and pull the results from it. It is designed to meet real-time requirements by means of interleaving block-transfers to and from a large on-board memory. We use the system for the development and test of audio signal processing applications. The implementation and test of the gammatone-resynthesis algorithm is described as an exemplary algorithm that has been tested within the environment. The presented system is part of a software framework for rapid development of power optimized audio signal processing applications on behavioral level using library elements.

关键词： Prototypes signal processing algorithms Testing Field programmable gate arrays Hardware Psychoacoustic models Software libraries signal design Object oriented modeling Digital signal processing

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Keynote speaker 2: Combining computational electromagnetics with signal processing algorithms to enhance the performance of imaging devices and antennas

Keynote speaker 2: Combining computational electromagnetics ...

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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Raj Mittra EMC Lab Penn State University and the University of Central Florida USA

Computational Electromagnetics (CEM) has made great strides over the years and has enabled us to solve very large and complex problems that were well beyond our reach only a few year ago. This has been made possible because of steady increases in computing speeds - thanks to Moor's Law - and the advent of parallelization as well as development of iterative and domain decomposition techniques. The quest as well as progress toward the solution of very large and complex problems remain unabated - CEM problems involving "billions and billions" of unknowns are being routinely solved today - and this trend is likely to continue for a long time to come. The focus of this presentation is not on proposing yet another algorithm which would help us solve even larger problems than we can handle today, but on discussing alternate ways by which we can enhance the performance of microwave devices - such as imaging systems and lenses - by combining signal processing algorithms with CEM. The paper will discuss several examples of performance enhancement including sub-wavelength imaging of objects that are not located in the near fields of lenses, and improving the accuracy of direction finding antenna systems with size constraints that limit their limitation if conventional DF techniques are used. Our strategy is to first use available CEM techniques to solve the forward problems efficiently and then to use these solutions in signal processing algorithms for the purpose of performance enhancement of microwave devices of the type mentioned above.

关键词： Educational institutions Microwave antennas Awards activities Computational electromagnetics signal processing algorithms

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Evolution of signal processing algorithms using Vector Based Genetic Programming

Evolution of Signal Processing Algorithms using Vector Based...

引用

International Conference on Digital signal processing (DSP)

作者： K. L. Holladay K. A. Robbins Southwest Research Institute San Antonio TX USA University of Texas San Antonio San Antonio TX USA

This paper demonstrates that FIFTH TM , a new vector-based genetic programming (GP) language, can automatically derive very effective signal processing algorithms directly from signal data. Using symbol rate estimation as an example, we compare the performance of a standard algorithm against an evolved algorithm. The evolved algorithm uses a novel approach in developing a symbol transition feature vector and achieves an impressive 97.7% overall accuracy in the defined problem domain, far exceeding the performance of the standard algorithm. These results suggest that vector based GP approaches could be useful in developing more expressive features for a large class of signal processing and classification problems.

关键词： signal processing algorithms Genetic programming signal processing Vectors Algorithm design and analysis Containers signal analysis Fourier transforms Genetic mutations Digital communication

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Digital signal processing algorithms for power and line parameter measurements with low sensitivity to frequency change

Digital signal processing algorithms for power and line para...

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Power Industry Computer Application Conference (PICA)

作者： B. Perunicic M. Kezunovic L. Slobodan E. Soljanin University of Sarajevo Yugoslavia Texas A and M University USA

The authors introduce a novel approach to the definition of digital signal processing algorithms using bilinear form representation. The proposed algorithms are used to calculate power and line parameter values based on the current and voltage samples. The bilinear form approach provides a convenient methodology for the optimal design of digital signal processing algorithms. This feature is utilized to design digital algorithms for power and line parameter measurements with low sensitivity to system frequency change. Several different algorithms are defined and their performance is investigated by testing their sensitivity to system frequency change. Various sampling rates and different data windows are utilized to define several test cases.< >

关键词： Digital signal processing signal processing algorithms Power measurement Voltage Frequency measurement signal design Algorithm design and analysis Testing Power system measurements Data acquisition

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Combination of body sensor networks and on-body signal processing algorithms: the practical case of MyHeart project

Combination of body sensor networks and on-body signal proce...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： J. Luprano J. Sola S. Dasen J.M. Koller O. Chetelat Centre Suisse d''Electronique et de Microtechnique Neuchatel Switzerland

Smart clothes increase the efficiency of long-term non-invasive monitoring systems by facilitating the placement of sensors and increasing the number of measurement locations. Since the sensors are either garment-integrated or embedded in an unobtrusive way in the garment, the impact on the subject's comfort is minimized. However, the main challenge of smart clothing lies in the enhancement of signal quality and the management of the huge data volume resulting from the variable contact with the skin, movement artifacts, non-accurate location of sensors and the large number of acquired signals. This paper exposes the strategies and solutions adopted in the European 1ST project MyHeart to address these problems, from the definition of the body sensor network to the description of two embedded signal processing techniques performing on-body ECG enhancement and motion activity classification

关键词： Body sensor networks signal processing algorithms Intelligent sensors Clothing Monitoring Sensor systems Quality management Skin signal processing Electrocardiography

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Investigation of signal processing algorithms for an Embedded Microcontroller-Based Wearable Pulse Oximeter

Investigation of Signal Processing Algorithms for an Embedde...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： W. S. Johnston Y. Mendelson Department of Biomedical Engineering Worcester Polytechnic Institute Worcester MA USA

Despite steady progress in the miniaturization of pulse oximeters over the years, significant challenges remain since advanced signal processing must be implemented efficiently in real-time by a relatively small size wearable device. The goal of this study was to investigate several potential digital signal processing algorithms for computing arterial oxygen saturation (SpO 2 ) and heart rate (HR) in a battery-operated wearable reflectance pulse oximeter that is being developed in our laboratory for use by medics and first responders in the field. We found that a differential measurement approach, combined with a low-pass filter (LPF), yielded the most suitable signal processing technique for estimating SpO 2 , while a signal derivative approach produced the most accurate HR measurements

关键词： signal processing algorithms Biomedical monitoring Heart rate Pulse measurements Reflectivity Fingers Motion measurement signal processing Digital signal processing Wearable computers

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